{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "llE7btqvKM3m"
   },
   "source": [
    "# High-dimensional Bayesian workflow, with applications to SARS-CoV-2 strains\n",
    "\n",
    "This tutorial describes a workflow for incrementally building pipelines to analyze high-dimensional data in Pyro. This workflow has evolved over a few years of applying Pyro to models with $10^5$ or more latent variables. We build on [Gelman et al. (2020)](https://arxiv.org/abs/2011.01808)'s concept of *Bayesian workflow*, and focus on aspects particular to high-dimensional models: approximate inference and numerical stability. While the individual components of the pipeline deserve their own tutorials, this tutorial focuses on incrementally combining those components.\n",
    "\n",
    "The fastest way to find a good model of your data is to quickly discard many bad models, i.e. to iterate.\n",
    "In statistics we call this iterative workflow [Box's loop](http://www.cs.columbia.edu/~blei/papers/Blei2014b.pdf).\n",
    "An efficient workflow allows us to discard bad models as quickly as possible.\n",
    "Workflow efficiency demands that code changes to upstream components don't break previous coding effort on downstream components.\n",
    "Pyro's approaches to this challenge include strategies for variational approximations ([pyro.infer.autoguide](https://docs.pyro.ai/en/stable/infer.autoguide.html)) and strategies for transforming model coordinate systems to improve geometry ([pyro.infer.reparam](https://docs.pyro.ai/en/stable/infer.reparam.html)).\n",
    "\n",
    "#### Summary\n",
    "\n",
    "- Great models can only be achieved by iterative development.\n",
    "- Iterate quickly by building a pipeline that is robust to code changes.\n",
    "- Start with a simple model and [mean-field inference](https://docs.pyro.ai/en/dev/infer.autoguide.html#autonormal).\n",
    "- Avoid NANs by intelligently [initializing](https://docs.pyro.ai/en/dev/infer.autoguide.html#module-pyro.infer.autoguide.initialization) and [.clamp()](https://pytorch.org/docs/stable/generated/torch.clamp.html)ing.\n",
    "- [Reparametrize](https://docs.pyro.ai/en/dev/infer.reparam.html) the model to improve geometry.\n",
    "- Create a custom variational family by combining [AutoGuides](https://docs.pyro.ai/en/dev/infer.autoguide.html) or [EasyGuides](https://docs.pyro.ai/en/dev/contrib.easyguide.html).\n",
    "\n",
    "#### Table of contents\n",
    "- [Overview](#Overview)\n",
    "- [Running example: SARS-CoV-2 strain prediction](#Running-example)\n",
    "1. [Clean the data](#Clean-the-data)\n",
    "2. [Create a generative model](#Create-a-generative-model)\n",
    "3. [Sanity check using mean-field inference](#Sanity-check)\n",
    "4. [Create an initialization heuristic](#Create-an-initialization-heuristic)\n",
    "5. [Reparametrize the model](#Reparametrize)\n",
    "6. [Customize the variational family: autoguides, easyguides, custom guides](#Customize)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "1Sj_aC_4KM3p"
   },
   "source": [
    "## Overview <a name=\"Overview\" />\n",
    "\n",
    "Consider the problem of sampling from the posterior distribution of a probabilistic model with $10^5$ or more continuous latent variables, but whose data fits entirely in memory.\n",
    "(For larger datasets, consider [amortized variational inference](http://pyro.ai/examples/svi_part_ii.html).) Inference in such high-dimensional models can be challenging even when posteriors are known to be [unimodal](https://en.wikipedia.org/wiki/Unimodality) or even [log-concave](https://arxiv.org/abs/1404.5886), due to correlations among latent variables.\n",
    "\n",
    "To perform inference in such high-dimensional models in Pyro, we have evolved a [workflow](https://arxiv.org/abs/2011.01808) to incrementally build data analysis pipelines combining variational inference, reparametrization effects, and ad-hoc initialization strategies. Our workflow is summarized as a sequence of steps, where validation after any step might suggest backtracking to change design decisions at a previous step.\n",
    "\n",
    "1. Clean the data.\n",
    "2. Create a generative model.\n",
    "3. Sanity check using MAP or mean-field inference.\n",
    "4. Create an initialization heuristic.\n",
    "5. Reparameterize the model, evaluating results under mean field VI.\n",
    "6. Customize the variational family (autoguides, easyguides, custom guides).\n",
    "\n",
    "The crux of efficient workflow is to ensure changes don't break your pipeline. That is, after you build a number of pipeline stages, validate results, and decide to change one component in the pipeline, you'd like to minimize code changes needed in other components. The remainder of this tutorial describes these steps individually, then describes nuances of interactions among stages, then provides an example."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Running example: SARS-CoV-2 strain prediction <a name=\"Running-example\" />\n",
    "\n",
    "The running example in this tutorial will be a model [(Obermeyer et al. 2022)](https://www.medrxiv.org/content/10.1101/2021.09.07.21263228v2) of the relative growth rates of different strains of the SARS-CoV-2 virus, based on [open data](https://docs.nextstrain.org/projects/ncov/en/latest/reference/remote_inputs.html) counting different [PANGO lineages](https://cov-lineages.org/) of viral genomic samples collected at different times around the world. There are about 2 million sequences in total.\n",
    "\n",
    "The model is a high-dimensional regression model with around 1000 coefficients, a multivariate logistic growth function (using a simple [torch.softmax()](https://pytorch.org/docs/stable/generated/torch.nn.functional.softmax.html)) and a [Multinomial](https://pytorch.org/docs/stable/distributions.html#multinomial) likelihood. While the number of coefficients is relatively small, there are about 500,000 local latent variables to estimate, and plate structure in the model should lead to an approximately block diagonal posterior covariance matrix. For an introduction to simple logistic growth models using this same dataset, see the [logistic growth tutorial](logistic-growth.html)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "id": "njvgAMszKM3q"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Using CPU\n"
     ]
    }
   ],
   "source": [
    "from collections import defaultdict\n",
    "from pprint import pprint\n",
    "import functools\n",
    "import math\n",
    "import os\n",
    "import torch\n",
    "import pyro\n",
    "import pyro.distributions as dist\n",
    "import pyro.poutine as poutine\n",
    "from pyro.distributions import constraints\n",
    "from pyro.infer import SVI, Trace_ELBO\n",
    "from pyro.infer.autoguide import (\n",
    "    AutoDelta,\n",
    "    AutoNormal,\n",
    "    AutoMultivariateNormal,\n",
    "    AutoLowRankMultivariateNormal,\n",
    "    AutoGuideList,\n",
    "    init_to_feasible,\n",
    ")\n",
    "from pyro.infer.reparam import AutoReparam, LocScaleReparam\n",
    "from pyro.nn.module import PyroParam\n",
    "from pyro.optim import ClippedAdam\n",
    "from pyro.ops.special import sparse_multinomial_likelihood\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "if torch.cuda.is_available():\n",
    "    print(\"Using GPU\")\n",
    "    torch.set_default_tensor_type(\"torch.cuda.FloatTensor\")\n",
    "else:\n",
    "    print(\"Using CPU\")\n",
    "smoke_test = ('CI' in os.environ)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "ZWFmW8HAKM3s"
   },
   "source": [
    "## Clean the data <a name=\"Clean-the-data\"/>\n",
    "\n",
    "Our running example will use a pre-cleaned dataset.\n",
    "We started with Nextstrain's [ncov](https://docs.nextstrain.org/projects/ncov/en/latest/reference/remote_inputs.html) tool for preprocessing, followed by the Broad Institute's [pyro-cov](https://github.com/broadinstitute/pyro-cov/blob/master/scripts/preprocess_nextstrain.py) tool for aggregation, resulting in a dataset of SARS-CoV-2 lineages observed around the world through time."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "id": "DlWE50HCKM3s"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "counts: Tensor of shape (27, 202, 1316) on cpu\n",
      "features: Tensor of shape (1316, 2634) on cpu\n",
      "lineages: list of length 1316\n",
      "locations: list of length 202\n",
      "mutations: list of length 2634\n",
      "sparse_counts.index: Tensor of shape (3, 57129) on cpu\n",
      "sparse_counts.total: Tensor of shape (27, 202) on cpu\n",
      "sparse_counts.value: Tensor of shape (57129,) on cpu\n",
      "start_date: datetime\n",
      "time_step_days: int\n"
     ]
    }
   ],
   "source": [
    "from pyro.contrib.examples.nextstrain import load_nextstrain_counts\n",
    "dataset = load_nextstrain_counts()\n",
    "\n",
    "def summarize(x, name=\"\"):\n",
    "    if isinstance(x, dict):\n",
    "        for k, v in sorted(x.items()):\n",
    "            summarize(v, name + \".\" + k if name else k)\n",
    "    elif isinstance(x, torch.Tensor):\n",
    "        print(f\"{name}: {type(x).__name__} of shape {tuple(x.shape)} on {x.device}\")\n",
    "    elif isinstance(x, list):\n",
    "        print(f\"{name}: {type(x).__name__} of length {len(x)}\")\n",
    "    else:\n",
    "        print(f\"{name}: {type(x).__name__}\")\n",
    "summarize(dataset)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "6euQcq4SKM3s"
   },
   "source": [
    "## Create a generative model\n",
    "\n",
    "The first step to using Pyro is creating a generative model, either a python function or a [pyro.nn.Module](https://docs.pyro.ai/en/dev/nn.html#pyro.nn.module.PyroModule). Start simple. Start with a shallow hierarchy and later add latent variables to share statistical strength. Start with a slice of your data then add a [plate](https://docs.pyro.ai/en/stable/primitives.html#pyro.primitives.plate) over multiple slices. Start with simple distributions like [Normal](https://docs.pyro.ai/en/stable/distributions.html#pyro.distributions.Normal), [LogNormal](https://docs.pyro.ai/en/stable/distributions.html#pyro.distributions.LogNormal), [Poisson](https://docs.pyro.ai/en/stable/distributions.html#pyro.distributions.Poisson) and [Multinomial](https://docs.pyro.ai/en/stable/distributions.html#pyro.distributions.Multinomial), then consider overdispersed versions like [StudentT](https://docs.pyro.ai/en/stable/distributions.html#pyro.distributions.StudentT), [Gamma](https://docs.pyro.ai/en/stable/distributions.html#pyro.distributions.Gamma), [GammaPoisson](https://docs.pyro.ai/en/stable/distributions.html#pyro.distributions.GammaPoisson)/[NegativeBinomial](https://docs.pyro.ai/en/stable/distributions.html#pyro.distributions.NegativeBinomial), and [DirichletMultinomial](https://docs.pyro.ai/en/stable/distributions.html#pyro.distributions.DirichletMultinomial). Keep your model simple and readable so you can share it and get feedback from domain experts. Use [weakly informative priors](http://www.stat.columbia.edu/~gelman/presentations/weakpriorstalk.pdf)."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "S3XpW4EzKM3t"
   },
   "source": [
    "We'll focus on a multivariate logistic growth model of competing SARS-CoV-2 strains, as described in [Obermeyer et al. (2022)](https://www.medrxiv.org/content/10.1101/2021.09.07.21263228v2). This model uses a numerically stable `logits` parameter in its multinomial likelihood, rather than a `probs` parameter. Similarly upstream variables `init`, `rate`, `rate_loc`, and `coef` are all in log-space. This will mean e.g. that a zero coefficient has multiplicative effect of 1.0, and a positive coefficient has multiplicative effect greater than 1.\n",
    "\n",
    "Note we scale `coef` by 1/100 because we want to model a very small number, but the automatic parts of Pyro and PyTorch work best for numbers on the order of 1.0 rather than very small numbers. When we later interpret `coef` in a volcano plot we'll need to duplicate this scaling factor."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "id": "gGdvwzs9KM3t"
   },
   "outputs": [],
   "source": [
    "def model(dataset):\n",
    "    features = dataset[\"features\"]\n",
    "    counts = dataset[\"counts\"]\n",
    "    assert features.shape[0] == counts.shape[-1]\n",
    "    S, M = features.shape\n",
    "    T, P, S = counts.shape\n",
    "    time = torch.arange(float(T)) * dataset[\"time_step_days\"] / 5.5\n",
    "    time -= time.mean()\n",
    "    strain_plate = pyro.plate(\"strain\", S, dim=-1)\n",
    "    place_plate = pyro.plate(\"place\", P, dim=-2)\n",
    "    time_plate = pyro.plate(\"time\", T, dim=-3)\n",
    "\n",
    "    # Model each region as multivariate logistic growth.\n",
    "    rate_scale = pyro.sample(\"rate_scale\", dist.LogNormal(-4, 2))\n",
    "    init_scale = pyro.sample(\"init_scale\", dist.LogNormal(0, 2))\n",
    "    with pyro.plate(\"mutation\", M, dim=-1):\n",
    "        coef = pyro.sample(\"coef\", dist.Laplace(0, 0.5))\n",
    "    with strain_plate:\n",
    "        rate_loc = pyro.deterministic(\"rate_loc\", 0.01 * coef @ features.T)\n",
    "    with place_plate, strain_plate:\n",
    "        rate = pyro.sample(\"rate\", dist.Normal(rate_loc, rate_scale))\n",
    "        init = pyro.sample(\"init\", dist.Normal(0, init_scale))\n",
    "    logits = init + rate * time[:, None, None]\n",
    "    \n",
    "    # Observe sequences via a multinomial likelihood.\n",
    "    with time_plate, place_plate:\n",
    "        pyro.sample(\n",
    "            \"obs\",\n",
    "            dist.Multinomial(logits=logits.unsqueeze(-2), validate_args=False),\n",
    "            obs=counts.unsqueeze(-2),\n",
    "        )"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "FSwBD5tNKM3u"
   },
   "source": [
    "The execution cost of this model is dominated by the multinomial likelihood over a large sparse count matrix."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "id": "Hf2Qui8UKM3u"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "counts has 57129 / 7177464 nonzero elements\n"
     ]
    }
   ],
   "source": [
    "print(\"counts has {:d} / {} nonzero elements\".format(\n",
    "    dataset['counts'].count_nonzero(), dataset['counts'].numel()\n",
    "))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "qA0ZvbCsKM3u"
   },
   "source": [
    "To speed up inference (and model iteration!) we'll replace the `pyro.sample(..., Multinomial)` likelihood with an equivalent but much cheaper `pyro.factor` statement using a helper `pyro.ops.sparse_multinomial_likelihood`. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "id": "fCbB8bN2KM3v"
   },
   "outputs": [],
   "source": [
    "def model(dataset, predict=None):\n",
    "    features = dataset[\"features\"]\n",
    "    counts = dataset[\"counts\"]\n",
    "    sparse_counts = dataset[\"sparse_counts\"]\n",
    "    assert features.shape[0] == counts.shape[-1]\n",
    "    S, M = features.shape\n",
    "    T, P, S = counts.shape\n",
    "    time = torch.arange(float(T)) * dataset[\"time_step_days\"] / 5.5\n",
    "    time -= time.mean()\n",
    "\n",
    "    # Model each region as multivariate logistic growth.\n",
    "    rate_scale = pyro.sample(\"rate_scale\", dist.LogNormal(-4, 2))\n",
    "    init_scale = pyro.sample(\"init_scale\", dist.LogNormal(0, 2))\n",
    "    with pyro.plate(\"mutation\", M, dim=-1):\n",
    "        coef = pyro.sample(\"coef\", dist.Laplace(0, 0.5))\n",
    "    with pyro.plate(\"strain\", S, dim=-1):\n",
    "        rate_loc = pyro.deterministic(\"rate_loc\", 0.01 * coef @ features.T)\n",
    "        with pyro.plate(\"place\", P, dim=-2):\n",
    "            rate = pyro.sample(\"rate\", dist.Normal(rate_loc, rate_scale))\n",
    "            init = pyro.sample(\"init\", dist.Normal(0, init_scale))\n",
    "    if predict is not None:  # Exit early during evaluation.\n",
    "        probs = (init + rate * time[predict]).softmax(-1)\n",
    "        return probs\n",
    "    logits = (init + rate * time[:, None, None]).log_softmax(-1)\n",
    "\n",
    "    # Observe sequences via a cheap sparse multinomial likelihood.\n",
    "    t, p, s = sparse_counts[\"index\"]\n",
    "    pyro.factor(\n",
    "        \"obs\",\n",
    "        sparse_multinomial_likelihood(\n",
    "            sparse_counts[\"total\"], logits[t, p, s], sparse_counts[\"value\"]\n",
    "        )\n",
    "    )"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "UPtf7TPSKM3v"
   },
   "source": [
    "## Sanity check using mean field inference\n",
    "\n",
    "Mean field Normal inference is cheap and robust, and is a good way to sanity check your posterior point estimate, even if the posterior uncertainty may be implausibly narrow. We recommend starting with an [AutoNormal](https://docs.pyro.ai/en/latest/infer.autoguide.html#autonormal) guide, and possibly setting `init_scale` to a small value like `init_scale=0.01` or `init_scale=0.001`.\n",
    "\n",
    "Note that while MAP estimating via [AutoDelta](https://docs.pyro.ai/en/latest/infer.autoguide.html#autodelta) is even cheaper and more robust than mean-field `AutoNormal`, `AutoDelta` is coordinate-system dependent and is not invariant to reparametrization. Because in our experience most models benefit from some reparameterization, we recommend `AutoNormal` over `AutoDelta` because `AutoNormal` is less sensitive to reparametrization (`AutoDelta` can give incorrect results in some reparametrized models)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "id": "Uhl_-vMIKM3v"
   },
   "outputs": [],
   "source": [
    "def fit_svi(model, guide, lr=0.01, num_steps=1001, log_every=100, plot=True):\n",
    "    pyro.clear_param_store()\n",
    "    pyro.set_rng_seed(20211205)\n",
    "    if smoke_test:\n",
    "        num_steps = 2\n",
    "\n",
    "    # Measure model and guide complexity.\n",
    "    num_latents = sum(\n",
    "        site[\"value\"].numel()\n",
    "        for name, site in poutine.trace(guide).get_trace(dataset).iter_stochastic_nodes()\n",
    "        if not site[\"infer\"].get(\"is_auxiliary\")\n",
    "    )\n",
    "    num_params = sum(p.unconstrained().numel() for p in pyro.get_param_store().values())\n",
    "    print(f\"Found {num_latents} latent variables and {num_params} learnable parameters\")\n",
    "    \n",
    "    # Save gradient norms during inference.\n",
    "    series = defaultdict(list)\n",
    "    def hook(g, series):\n",
    "        series.append(torch.linalg.norm(g.reshape(-1), math.inf).item())\n",
    "    for name, value in pyro.get_param_store().named_parameters():\n",
    "        value.register_hook(\n",
    "            functools.partial(hook, series=series[name + \" grad\"])\n",
    "        )\n",
    "\n",
    "    # Train the guide.\n",
    "    optim = ClippedAdam({\"lr\": lr, \"lrd\": 0.1 ** (1 / num_steps)})\n",
    "    svi = SVI(model, guide, optim, Trace_ELBO())\n",
    "    num_obs = int(dataset[\"counts\"].count_nonzero())\n",
    "    for step in range(num_steps):\n",
    "        loss = svi.step(dataset) / num_obs\n",
    "        series[\"loss\"].append(loss)\n",
    "        median = guide.median()  # cheap for autoguides\n",
    "        for name, value in median.items():\n",
    "            if value.numel() == 1:\n",
    "                series[name + \" mean\"].append(float(value))\n",
    "        if step % log_every == 0:\n",
    "            print(f\"step {step: >4d} loss = {loss:0.6g}\")\n",
    "\n",
    "    # Plot series to assess convergence.\n",
    "    if plot:\n",
    "        plt.figure(figsize=(6, 6))\n",
    "        for name, Y in series.items():\n",
    "            if name == \"loss\":\n",
    "                plt.plot(Y, \"k--\", label=name, zorder=0)\n",
    "            elif name.endswith(\" mean\"):\n",
    "                plt.plot(Y, label=name, zorder=-1)\n",
    "            else:\n",
    "                plt.plot(Y, label=name, alpha=0.5, lw=1, zorder=-2)\n",
    "        plt.xlabel(\"SVI step\")\n",
    "        plt.title(\"loss, scalar parameters, and gradient norms\")\n",
    "        plt.yscale(\"log\")\n",
    "        plt.xscale(\"symlog\")\n",
    "        plt.xlim(0, None)\n",
    "        plt.legend(loc=\"best\", fontsize=8)\n",
    "        plt.tight_layout()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "id": "-z-UBawaKM3w"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Found 538452 latent variables and 1068600 learnable parameters\n",
      "step    0 loss = 273.123\n",
      "step  100 loss = 63.2423\n",
      "step  200 loss = 44.9539\n",
      "step  300 loss = 34.8813\n",
      "step  400 loss = 30.4243\n",
      "step  500 loss = 27.5258\n",
      "step  600 loss = 25.4543\n",
      "step  700 loss = 23.9134\n",
      "step  800 loss = 22.7201\n",
      "step  900 loss = 21.8574\n",
      "step 1000 loss = 21.2031\n",
      "CPU times: user 3min 4s, sys: 2min 48s, total: 5min 52s\n",
      "Wall time: 1min 47s\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "%%time\n",
    "guide = AutoNormal(model, init_scale=0.01)\n",
    "fit_svi(model, guide)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "8CB2cHfbKM3w"
   },
   "source": [
    "After each change to the model or inference, you'll validate model outputs, closing [Box's loop](http://www.cs.columbia.edu/~blei/papers/Blei2014b.pdf). In our running example we'll quantitiatively evaluate using the mean average error (MAE) over the last fully-observed time step."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "id": "jzIoMBXfKM3w"
   },
   "outputs": [],
   "source": [
    "def mae(true_counts, pred_probs):\n",
    "    \"\"\"Computes mean average error between counts and predicted probabilities.\"\"\"\n",
    "    pred_counts = pred_probs * true_counts.sum(-1, True)\n",
    "    error = (true_counts - pred_counts).abs().sum(-1)\n",
    "    total = true_counts.sum(-1).clamp(min=1)\n",
    "    return (error / total).mean().item()\n",
    "\n",
    "def evaluate(\n",
    "    model, guide, num_particles=100, location=\"USA / Massachusetts\", time=-2\n",
    "):\n",
    "    if smoke_test:\n",
    "        num_particles = 4\n",
    "    \"\"\"Evaluate posterior predictive accuracy at the last fully observed time step.\"\"\"\n",
    "    with torch.no_grad(), poutine.mask(mask=False):  # makes computations cheaper\n",
    "        with pyro.plate(\"particle\", num_particles, dim=-3):  # vectorizes\n",
    "            guide_trace = poutine.trace(guide).get_trace(dataset)\n",
    "            probs = poutine.replay(model, guide_trace)(dataset, predict=time)\n",
    "        probs = probs.squeeze().mean(0)  # average over Monte Carlo samples\n",
    "        true_counts = dataset[\"counts\"][time]\n",
    "        # Compute global and local KL divergence.\n",
    "        global_mae = mae(true_counts, probs)\n",
    "        i = dataset[\"locations\"].index(location)\n",
    "        local_mae = mae(true_counts[i], probs[i])\n",
    "    return {\"MAE (global)\": global_mae, f\"MAE ({location})\": local_mae}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "id": "LVhNFPu4KM3x"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'MAE (USA / Massachusetts)': 0.26023179292678833,\n",
      " 'MAE (global)': 0.22586050629615784}\n"
     ]
    }
   ],
   "source": [
    "pprint(evaluate(model, guide))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "fj--86jAYzN6"
   },
   "source": [
    "We'll also qualitatively evaluate using a volcano plot showing the effect size and statistical significance of each mutation's coefficient, and labeling the mutation with the most significant positive effect. We expect:\n",
    "- most mutations have very little effect (they are near zero in log space, so their multiplicative effect is near 1x)\n",
    "- more mutations have positive effect than netagive effect\n",
    "- effect sizes are on the order of 1.1 or 0.9."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "id": "wgQMV_DpKM3x"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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Menr6iLbbaEJ8gejRydKlS83u3btjLYYyANq9XqrLysgrLlaXnKLECBHZY4xZGuqYuo+UqKLxBCUSNBkhdqhSUKKKHU/Icrv1R6+ERQcPsWPcKwUdkUQXO57Q6PHoj14JiyYjxI5xH2i2RySABj+jiO7vrPSFfzKCxqGiy7hVCvaDluV2A9o5RRvNQFIiRQdu0WXcKgV90BRldKBWZXQZt0pBHzRFiS/CuYnUqowu4zbQrMtXKMrAGc7EjOC64iHjSBNPxrFSUBRl4AR33P6d6EA71OC64iHjKB4UU6wZt+4jRVEGTrDb1T82BwwoThdcVzy4idStrJaCoigDwL/jPrZ1K1lutzO6z3K7EREnoy/SuuLJhRsrmYKtrFi6sVQpKIoyYGwLodHjcTrRRo8HYwyN1gqkSuQc37aNAxs3cnzbNiC2bix1HymKMmBCuVnU9TJ4upqbaamspKu5GYhtW6qloChKxNhuDeAsN0s8uoMGQixdNskZGaQXFJCckQHEti3VUlAUJWIimfQ52palsOXtbGqi4dAhIHoTWu1rTyssJCUzMy6sLFUKiqL0y0CWhRnMagHtXq/jT5+1cmVUlYktb/aCBVFJibXb0pWby94nniDV2ozovNWrHWsllgpVlYKiKCHxH/FXl5VxorSUml27WHzffX12WIPxh1eXlXF0yxYAUjIzo5qa6i/vSHbEdnu2VFZyorSUruZmGg4dYuKUKSz56lcBBtTOI4XGFBRlHBNu8lm718u+9es5UVrqKIbktDS6W1v7zYgJ5w/vy2efV1zMnOuvZ87110fdhTKc/vvge2z0eNjx8MO+peLtjK0jRwBIO+ccElJSSM3OdjK2wrVzNOMdaikoyjgmePKZPUrNmj+f7tZWktPSnBH0wjVrOLhpU8TzEPq6VrAl4MrJYeEttwz+RmJIsEXlf48HN23ixBtvALD4vvvobGqipboagHk33cTMT34SCJzAt/i++5z6bKK5gOe4VQqjLRimKCNBsKunZtcuultbAZhRUuKUH9u6lc6mJmcewmAUw2hPWQ3XZ/h32HnFxXQ2NdFcWcnBzZuZvWoVALNXraK6rIyu5maO/v73uHJzaa+vD6kIQ83sjmbbjUv3kW0an7RM42D8Tb7hut54X2RLiU/8XSf2KHVGSQmzVq50ygM6vSEEYkdTymqo32y4CWX+aza5cnJIyczkZGkpR7dsob2+nmUPPUR7fT3VO3dSX15Od1sbvV1dA1KswW03kn3KuLQUqsvK6PIzjYPxN/mWPfTQsFxP925Q4p3gkXCojKPBdOjDYZVHy7K3s6Bq9+3DGAN8/JsNN1oPHtnb1kKoc5orK6nbv5+E5OSILK5IrJPh7lPGpVLoL9tg4Zo1Af/7eiAjeVhHk9k8Gt1qo1HmeKS6rIyTfpkvw9XxDEc94eoY7u/ezoLq7exkyoUXBvxmI12wL1R8xD633eslOSOD7uZmOpuaaPd6+5Q73H2PZJ8yLpVCf19ultsdYCH09VBH8sDHw+qPkTIarZrRKHM8kldczMnt26krL+f4tm3MWrnSKR9qvUOtJ1wdkX73kSqPLLebjOnTmTx3LvNuvHHAiqa/+Ra2wji2dSvVO3f2m34bqXUynIxLpdAX/iZzo8fj8xeG+GLG6h7Po8mqsRmNMseSvnY4m7p4Mc0VFc57O6NmKCPxvjqwSDvrcHVE+t1HqjwaPR4SXS4yCgoCXGiR3n+k8y36k9v/utEe6KhSCMJ+eGp27QrwKQb/OIJN7Vi7LYbLjB5NVo3NaJQ5lvTVQc5auTJguYX+OtOhPndDtfIi/e4jVR728Sy3m4ObN4eMLQTj3wbB8YTBbjEaS+tXlUIQWW43Nbt2MXvVKtrr6wN+HP5KIK+4mA/++Ecq33qLtPx8Lr7rrmGXZSA/OHWhKJHSVwcZKmga7rMw9OdusFbeQJXRQOIBecXF7Fu/nrrycoCzYgvB2G3Q2dRESmam43az11M6tXdvxIPHePBAqFIIwl4Tvr2+/qwfR82uXXRZMw3PW72aRJeLzqYm6svLObh5MzD4dVtCZX7sW7/eyRnv74FWF4oSKQOxrPr77FCfu3D199fpD/cgKHgCWldrK+n5+SS6XE7CSbg1iex772xqOmsXuuwFCwJmKPcnazwM7lQpBNFXYCd4puFFd95J0sSJpOfnD3rdlnApcP2lzQajLhQlFgzkuRus5RsqrjEUZRRKjlAT0Cp37MB74AD7N2xg6uLFYVdQ9c8sAp9ymFZY6NQ1a+XKs2YohyMeBneqFILo6yEPPmZnKbV7vSRZ66AP9MsMlwIXKm1WUy+VgRDueYnVczSQUbD/8x9qkTj/IHiW203Nnj1AZJZ6KDlst3GW2+1MQGv64APqy8vp7eoCYOrixX3+vu3zQmUVDZdlFg3iRimIyHnA/wImGWNujrU8A8E/L9meaWhnL/lnMYXq3O1RSVdzM8kZGXQ0NITNOogH01IZPYR7XobrORqochnIKNi/c7Rdt8EuGP+kkIb33wc+ttT7ks1fDv+9FLpaWzm4aZMTMzy5fTu9XV10t7TQ09ZGSmZmv/cZDyP9oTKiSkFEngU+DdQaYy7wK78OeAJIADYYY75njDkG/K2IvDCSMo00wdlLwVlM/p8B3wil8fBh0vLzaTh0iMbDh8NmO/T1wKkVMT6JtPOLpHyg1x1IzAsGPwq2XbfHt20LmPBly+/KzaW7rY3Jc+f2mTUVnOZp30NXayvnLFlylu+/aO1adj72GN4DB+jp6ODk9u1kud19zkKOh5H+UBnptY+eA67zLxCRBODHwCpgEXCriCwaYTmiRl6xbx2UhWvWBPy3H9Z2r9eXpTBpEie3b6fsscc4/MIL1JWXk1FQQLvXS0ZBgTOKObZ1K40ej7MFYpbbzb71689al2k4N/rWtZpGD3197+HWGhrqGkR2Z9pWX09ShDGvoWLLenTLFmdymOPLr68n0eUiOSOD6rIy2r1e53foL5vnxRfZ+dhjeF58EfC1XXt9Pa2VlUw+7zzS8vPp6eigpbLSUTxTFy9mQkoK3gMHqPyf/+Hgpk0jfq+xZkQtBWPMmyIyK6i4CDhiWQaIyGbgM8CBkZQlWviPFOwRRZbb7XS09pZ/pz0eGj0eOk6fJnXyZKZceCEtVVXU7d9PosvlmLQNhw4FWBs1u3adtS6TrWiyFywYlh+ouqlGD7FwVxzfto268nImz5kT9Tk6vZ2d1O7bFxA7CJX9E2puUeORI7TV1nLk5ZdJyshgWmEhNbt2keBy8cGrr1JXXk7D4cN89MEHtFRVsXDNGrqbmxFg0uzZYIyTiTSWiUgpiMg84CfAOcaYC0TkIuAGY8yjg7hmAXDS730FUCwiOcC/AItF5AFjzHfDyHI3cDfAzJkzB3H52BC85d95q1fz5tq19Pb0kOV2M+/GG+loaAAgPT+fk6WlIMLUxYuZVljoxCVsReP/cFaXlXFq716S09KcHOlg+nMvBcc5YOgdzUBdWuoCGzixclckpKQwdfHiiNcCG+x363/erJUraTx8OCAtHD5ug0aPh8bDh51BWLB7a95NN1FTVkZvV5eTLZg1fz4A0woL6d6wgZ7OThJSUpz4QsP772PwDeziYZJqNIjUUngauB94CsAYs19ENgGDUQohMcZ4gXsi+NzPgJ8BLF261AzX9UeaUNlEn3r6aQ5u2sTCNWucjAo7m8n2daZkZpKanU1nUxPHt21jWmEhafn57HnySaZceCHzbrzRCYrV7N7Nzsceo2jtWoCANDi7PiBkIO74tm0c3bKFzqYmFt5yy6A6muA6B2pxqIUyOgie9exPX8HtgWwz6R8AtlNB84qLSc/Pp/HIEVy5uWfNG6jZs4eG9993MpFsa8aW8/SxY6Tm5pKen0/+smUANBw6RF5REVluN0Vr1wYscTPQrKaxQqRKYaIxZqeI+Jf1DPKalcAMv/fTrbIxTagRXfDCe/6f9Z8TUV1WxvsvvEB7fT211vuPjh+nds8eWquqWHzffUxdvJjqsjJOHz3q/JjsTj4lMzNgFy04+8fb1dxMS2UlXc3Ng77H4DoHanHEOnNDLZX+6a+N+gpuh8ogCoe/ZZ29YAHew4cpf/ZZeq2R/N4nniBx4kQObtzIsnXrHAvadi9lzZ0b0ppJSEkhf9kyFt5yC+1eb4ByC+f6HW9EGmiuF5E5gAEQkZuB6kFecxfgFpHZIpIM3AK8PMi6xiz+wcC84mImz5lDam4uk+fOZeFttzHnhhvIXrTIWdFyWmEhecXFzL722rN+kFluN0lpaY5FAoEbgwAkZ2SQXlBAsjXfAgYecLbrzHK7ncD4QAKa0dyEZSCbqMSKeAz499dGfQW3F993H1OXLHEyiPrCfpZsd+j+p5+mascOEGHynDmkZGdz2uOhweNhx7p1tHu9TCssJDElhZ62NgyQPW+eM4kMfKP9OddfD+AEkkfLpj/RJFJL4e/wuWwWiEgl8AFwW38nicivgRIgV0QqgIeMMc+IyH3Aa/hSUp81xrw3GOHHC66cHMe0tTvxjIICmisrfbEHPl7dMb2gwDlvzvXXO7Mpg7dRDLZc/GMR9g9moO4cu057WeBIz4sFoe4t1pZKMLF2p4WyCvpro74sieDJXaFmKtt1HN+2ja7mZjqt/0mpqXQnJjLjqqu44PbbOb5tG5PPO48Tb7zhuFZTMjN9z78I9eXltFRVkVZaGjBPKNzkMuVj+lUKVgrpvcaYa0QkDZhgjInIx2CMuTVM+VZg64AkHef4d+J2p5u9YAGLbrst4Adqp6zaudfHt22jtbqajoYGmv1S7Wz8f8SAE4CbtXLloDOa4q1zDUUoGeMtxzwa7dhXJx5KKQ11dc/+Zirb8bTKHTvwHjyIKzeX6VdcQcEVV9BSVUVKerpvCZjmZmp27ybtnHNo9Hjobm52BjadTU0cfuEFOurrOX3kCC2VlY48o+HZjDX9KgVjTK+IXGG9bh15kZT+CBW0BpxRendrKyJC7b59nD56lPb6egBnDkS42a3+VJeVOUG4gZrX8da5hkJl9NHXJC9Xbi4i0qdfPVip2M+m7UIMntHvv05QZ1MTIkJ3a6sz0u9saqK7tZXulhbOdHfTfPIkDYcPM/WSS5h3s2+hg+qdO+lpbwcgwbKODYGJFTb+mXswOr73WBOp+2ifiLwM/AZwFIMx5sURkUrpk74ebP+c7VN79zJ5zhxmXXst4Isb2D9W/8/5WwPBWSX+n+9LOWiQdnQSauRsj+BbKytJKyg4ay/h4BVFg/cV8XchhprRb1+j4dAh0qZN49Tu3aTl5VH11lu0VFcz+9prmXfzzfzPgw9SX15O3f79TJw6lRkrVjAhKYmK0lIW3XEHSRMnOkvcNxw+zM7HHmPRbbdx0V13BWyHOR6DxUMhUqWQCniBq/3KDKBKIc7wH4nZHbx/J31s61bHZM+aP5+GQ4fIXrAg5HpLecXF7Hj4YarfeYe8yy5j2UMPhe3wg9eUV+UwcgynAg41wLAzhXqzs0Ou0uv/XQMgEjB3wH8yZfBIHXzxr5PbtzN57lxOHzlCc2Ul6dOn09HQQEt1NS1VVVx0111MvfhiqnbsoLeri1N79rDswQfZsW4dp48f58BzzzG9pMRZ4v7k9u20e700HjkypPZQIlQKxpgvjrQgyvASzpqw5zTUlZeTlp9PXlERnU1NZ4322r1e3nr4YTwvvEBPZycTkpLCphL6dwJA3AeZRzsjHYAOTonua/+AhkOHmLp48Vm7tdmTKe3sH3uhR1duLm+uXUtnUxMtFRUs+drXAMiaO5d5N93EB6++yuxVqzi2dSvzbrqJ6l27qHv3XSYkJlKzZ4/z+fPvuIMz3d3ONe1l7MfDjOORJtIZzdOBJ4HLraL/Br5mjKkYKcGUkcFez6W5ooLkjAxnZBc8U/T4tm2c+M//pLeri4TkZCbNmRPWDPePP+QVF4ed2NQXfY1+x6trKtx9RyNY6m9xBrsPg2cQTyssDHg2/OckHNy0ie7WVsqffZau5maaT55EEhMRY0jJzqa9vp4ZK1ZQvXMn6QUFLHvoIcf1lFdUxMV3383eJ5/EniGVV1TEX23ceJa84eb8KAMnUvfRz4FNwP9rvf+cVRZ6TQUlrgmekRpqA6Gu5maS09M509ODAB8dPeosK2xbEvbsT9tKyHK7nbKBdvDBo99gv/V4dE2FswiiGSztyyqxdykMjjn4P0+u3Fz2PvEEXc3NeA8e5Ex3N5PPO4+rHn+c9vp6stxuTpSW0u6XHRdO6YVbwkUZXiJVClOMMT/3e/+ciPzDCMijRIFQnUpwWXJGBhkzZzLl4otJdLkwEGBJBC8RnldURKPHw4nSUsqffRbAWTLDn3CdTHBHELwTll3feHJNDYdFMJA1rwYyQxk+3pjGlZvLwc2b6W5uJikjw1kSwg44p2Zn09PZyfQVK2g6dozz77iDvKIiJ/20ZvduPjp+nNaqKic7zv/7DX6GlJElUqXgFZHPAb+23t+KL/CsjFH8Fx+bWVISMNHIP1A4s6QkIJBYs2sXvZ2dZy2X0d+G5KF2tTu5fTvNlZXkwVnB8+B6x6L1MBwWQV8WWCQTFPuSwbYU3v/tb6kuK+NMdzdpeXk0Hj7sWJRZbjflzz5LZ3Mz2fn5zPn7vw/Y2L67tZWElBQmzZoVsE6REjsiVQpfwhdTeBxf1tEOQIPPYxh/F0CwO2jf+vVUl5WRNHHiWZuO2JuhQKC5HzzyD+7IgzurRo+H5ooKmisqnNFjqA4q1rN+o0Uo5ReJQgxngdmuuHBKOtT17VnGyZY1YFsKadOmkZyRQVdrK80nTpAyebJjUdr7frRWVZGSkRGwe5kTJL7rrrN2J1RiR6TZRx8CN4ywLEqcEW7ZCjvDI1Smhysnx1lsLNykplA7doVaTM9OeeyrwxovM1RDKb/+dhfznyxmM1hXXHWZby/xlspK0gsKSMnMBMAYQ1J6OimZmbSdOkVXSwu97e0Bk9fm3Xyzo0zCzSDXuQTxQ6TZR7/Al2102nqfBfzQGPOlEZRNiROCO95IMj2COyxbMex87DFq332XhJQUJubl0VJZ6Wx44n8NICCoHG5UPF5mqPp/B3254iK1nKYVFobMEgvXzlluNxnTp5O9cCHdzc3OtWt27QIgraCA1JwcEl0uLrrzTp+LcQBLZSvxQ6Tuo4tshQBgjGkUkcUjI5ISbwym47VH+v576laXleE9cICGw4dJmzqVo7//PYAz8uxrc/nx4iYKR6i1r2Bg+3hD/0ojnPWx98knObVnD+cUFpKane24hbpaW2nauZPOxkYu/vKXOdPdTWp2NlluNwc3biTR5WLf+vWqGEYRkSqFCSKSZYxpBBCR7AGcq4xDQq1IaU+c62ptpae1lZnXXEP6OeeQZLkVGj0e9m/Y4ASw4exObqy7iSKhr7boT4H3da7/JER/98/BTZs4UVpK84kTTJozh9nXXReQWFD11lt0NjXx3nPPMdmyIDqbmujp7KSns5OU7OyI9lBQ4oNIO/YfAm+LyG8AAW7Gt3WmooQluAOylwB//atfpcHjofHgQRZ/5St0NDTw1sMPU/POO3ScPs3EKVOczYOCJ0wNhLGamRSuLYLvN9T999WO/pMQGz0eJ+W4vb6eMx0dJE2cSEJKSoAcC9esod3rxQDnf+5ztNfXk1dczPFt20hISWFGSQkZBQWqzEcRkQaanxeR3Xy89tGNxpgDIyeWMhYINyt22bp1vPnAA3Q2NfH+iy9y/LXXOPHGG5gzZ8h2uzmnsPCsfXhtBtLRB28xOtboL700nKvIziRqqa7Ge+AASS4XS/7+70NaEbalMH3FCnra2sgrKgrIXupsaiI1O9s3m72oyDnPf4LkWFLI44FIA81zgKPGmAMiUgJcIyJV/nEGRQlH8Lr5WW43s6+9lr889xxHt2yhu6UFAVKys1lw662k5eXRUl3Nye3bnZTXcHv2RtMSiDfLo7/tT8O5iuxMorr9+2mtqUEmTCDR5XL29gacxIDqsjIWrlkTMBfF/h7sPT38d/DzP1/dRaOTSN1HvwWWishc4Cl822duAvRbV/rFfy0ce/SflJHBhKQkejs76e3sJPeii3Dl5JCUns6pvXs5tXMnPd3dJE2cyLKHHnIUi4gwdfHigOUv7GsEd9h9bTAfjoFuOhNLQrnnIlkOw04COGfpUjwvvcRHR46QnJnZp6Xh3759rcKrjH4iVQpnjDE9InIjsN4Y86SI7BtJwZSxQ6i1leyJbbX79tHT1kZHQ4OzR3RyWhqT3W46GhtJyszkz08/jQAiAsY4E6Dyiot9W5JaM5/9d9iyrxsufz8cfXX88RLs9r+XSJRTuHtPz8sjZ/58mo4fp/qdd1jw138NhLY0QqUYx4NiVIafSJVCt4jcCtwOXG+VJY2MSMpYJNQoduEttzh7SPvv0GWXdTY18f4LL1D/3nu4srM5/447yCgoCNj4p7WqytlEfsaKFYNOxbQZSmZPtOjrXkIpgFAWgL1d5WS3m5RJk+jt6gpY8BAC7zdeFKIy8kyI8HNfBD4B/Isx5gMRmQ38cuTEUsYLdseT5XY7I1D/GdBp+fmkZGRwpqeH00eOOIHPY6++yr7168m54AIEOPeaa5zzASe43e71LdGV5Xb3u7Wkvzzx7BLJKy4O6ceHj+M3+9avp93rDUgz9e/YM/Lz6WlrQ4AlX/0qUy+5xHHvhWI0tIsyPESafXQA+CqAiCwxxuwF/s9ICqaMb+z0yIJlyyhYtozaffswxnBw0yba6+up3buX1Oxsavbsoc3r5ciWLc6mK3Ymjn9wu9Hjcdb3Hy0TqQYzizs4fgNwau9en+uNj/cszr3wQur276ejsZGMggLm3XhjyD2OlfHHYCagbQCWDLcgiuKP/6jWlZPDtMJCDm7axOxVq/jg1VdJzc6m7dQpuq0JUj3t7QFBUf9N4e3OrmbXrrCprvHIQAPbdqppen6+MyEQfBPM6srLaa6ooPHwYYwxZC9YwMX33AN83MajoU2UkWcwSkH6/4iiDI3gTspepvn0sWNkzZ9Pen4+R15+2bftY2YmuYsW0VpTQ0tlJce3bXO2iQSchfWCg93xzkD8+I0eDzvWraOtvp7ezk4uvucex7rwX7nWf8/k0WAtKdEnopiCiPyXiNi/0Ietsp+NmFSKEoTtRwdoOHSI9IIC5t5wA5NmzeLclSsx+NYEOvLyy77PFxU5Kam1e/eyb/16gLj0iwfHP2wG4sc/uGkTDR4PzSdPkpCSQtWOHRzcvNmpMyUz01nuOh7bQIkfIrUUZgP/n4hcaox52CpbOkIyKcpZ+M+O9p97kG4tobDzscc409MDlu/cf8nuk9u3U1tezvFt2+JuZrO9+1jwUuL2sVAxBf9VUu2tMNPy88mcOZPE1FRaKiqo/8tfOPnGG3Q3N5NeUBBX8yuU+CZSpXAa+CTwIxHZgm+PZkWJOsFuJVtRZM2dy/QrrqD11Cmq3nrLWYTPlZND1ty5nCwt5eCmTWdtMh9rqsvK6GptJTkt7awd5fatX09XCGVhL9+RMX06iS6XsyVq/uWX43nhBSYkJ9PT0kJvby+NR47gvvFGQNNJlciINCVVjDE9xph78c1u/h9g6siJpSiRU11WRnNlJT1tbbRUVHCytJQJSUnsfvxxfn/zzbSeOkV3WxveQ4d484EHAtwqsSbL7SY5LY2Fa9YEWAP2VpXBysKmq6kJ74EDZBQUMHvVKtobGjj4q19x+tgxWiormXLxxcy9/nouuvNOTSdVBkSklsJP7RfGmOdEpBz4u5ERSVEGht1pnrd6NW+uXUtXWxvvPfecb22f2lq6WlqYNHu2s3f0n3/qe5zjwZXU6PHQFSJVNjj7ysZWZgkpKbRUV1O9cycHN26kpbaW5pMnSUpPJ3vBAlKzspixYkVcWUXK6CAiS8EY81TQ+z2665oSL9gj4byiIj719NPM+au/YsnXvsYFX/qSE5zu8HqZesklTL3kEly5uXQ3N4cM7kabvOJiRIQ6K+bRH8e3beP9F14gweXClZPDqT178B4+TPupUySnp5N36aVc9cMfMqOkRN1FyqDQjXKUMYW9VWi710t7fT1peXkc+8MfqKus5NxrruGcJUs4vm0btfv2Ubt/f8y3i7RjHtVlZXQ3Nzvl4eYotFRXU7N7N67sbBJdLnp7epiQlMS0Sy8lJSODZevWOSvLKspgUKWgjEnsTjWjoICWigokKYk/P/UU+Zdfzsk33qC3s5PkjAySXK6zJrNFe4nspIwM0gsKnLTaLLf7rKUpbNpqakhITmZCYiLZixbhPXCASeeey7TCwlEzU1uJb1QpKGMSuzPtbGoi98ILqS8vp6u5mb1PPMGZ7m6SJ03i3GuuYeqSJSH3G4hmCqc9n8Leo8DOJsorKjqrk7/ozjs5ffQovZ2d5BUVce4nP+nUoQpBGQ5UKShjkuB5DUu++lX2b9jgOyhCQlISYgzAWVZBtFcEtWVt9HhoPHyY2atWcfrYMTqbmmj3egMW+Wv0eJh97bV88NprnD5yhKK1a1UZKMNKpCmpijIq8V+FtWjtWi744heZevHFZM6ahSs3F4DqnTsDVgeNVQqnvZRHe309KZmZNBw65Mhlz1s4UVpKUkYGUy68EGNM2FVNFWWwqKWgjBtcOTmkZGaCMSRNnEh6fj5dzc0hffexIJSFYr8+vm0blTt20N3Swvybb3b2nIgHuZWxhVoKyrgir7iYGSUlTF28mBOlpZwsLQV8LqRop6cGr3nkb6H4v273eqndt4+mkyfpaGzkg1df1QlpyoihloIyrvCPNdh0NzdzdMsWOpuaojqhLZKAtu026mlrY/rll9PR2MjsVauiJqMy/lCloIxL7O1AAQ5u3hxwLFopqbbrx3970eDZy/vWr6e9vp7EiRNJnDiRlKws2uvrR0wmRVGloIwr2r1ePC++SOORI1x0551kud3MWrky4Hi0UlJtq+XY1q1U79xJZ1OTswKsvXtcW309nQ0NzLjoIho9nrBrISnKcKFKQRlXVJeVcWDjRsd9NGPFCvKKi0nJzKR6586AZbmj1fn6z6nwV0b2bnFJLhdJGRnO0hUaR1BGEjFWrvZoZOnSpWb37t2xFkMZRfhbCllz59JcWUn2ggXO8VhOAvN3W3U0NLD3ySfpbm8nd9Ei0vLydIKaMmyIyB5jTMg9cdRSUMYVrpwcLrrrLuDjPY1r9+0DY5i6ZEnA5jXRGpX7KwPbXbVv/XpnF7netjYmu93OHhGKMpKoUlDGNbX79lH77rskJCfT09FBQmqqs8wERGeZi1AxjNmrVlH59tsAnH/HHZzp7tZYghIVVCko45bqsjJOHz1Ka1UVSZmZJKSkMOXCC1m4Zo1jKUSDUDGM08eO0dvRQWpuLme6u9VCUKKGKgVl3JJXXExzZSXp+flkzp5NSno6SRkZpGZnR7UTtveStvdTmLVyJV3NzZzp7iYjP18tBCWqqFJQxi2unBwyCgo47fHQ3dRESno6R7dsAaK7K5s9H6GuvJyElBQATh85QlpeHvnLlmlwWYkqqhSUcY2d9tnV2kr1zp2c2r2bdq+XaYWFUduoprqsjK7WVibPmcPkuXOp2rGDhsOHSc7IYFphYVRkUBQbXftIGde4cnJYfN99nLNkCU0nT9JSU0P9/v0c3LQpKtdv93rpbGrinCVLKFq7loyCAj764AMaDh+mq7mZg5s2xXzLUGV8oUpBUfBlIbXV1pKalUXGjBnkL1vGwc2bObh584h2ytVlZTQcOkRXczP71q+nu72djoYGMmfPJjkjg+7WVl0eW4kq6j5Sxj3VZWV4Dxygp6ODyeedR29nJ+/98pfU7N5NSno6MHIxhiy3m5pdu6jZuZOK7dvpbm9n4pQpTMrLY9a115KckaGBZiWqqKWgjHvyiovJnD0bV1YWBvjo+HE+ePVVmk+coK2hYcSu2+jx8OYDD1CzezcG6G5vp7ujg56ODvIvv5yWykpSMjM10KxEFVUKyrjHlZNDwbJlTMzLo7utjXavl47GRs50d0NvLy3V1cPuQmr3etmxbh31+/dz+sgRBMg5/3xcWVlMnjOH9Lw88oqK1EpQoo66jxQF39yAxsOHObV7t08ZnDnDmd5emior2f/Tn5KelzesLqTqsjISXC5cU6aQPn06J15/nTO9vWTPn8+cG27QdY6UmKGWgqLwcRZS9oIFpEyaBBOsn0Z3N2d6euhqbg7YJW2o2OsqpeXl0fnRR7TV19Pu9dLd0kJGQYEqBCVmqFJQFAtXTg7XPPkkhV/7GpPsOQrJycy8+mqSMzKo3rlzWDKB7AXw0qZNo7W6mo7Tp0lMTSU9P5/sRYuiNj9CUUKh7iNF8SPL7WbZQw/RXFHBoepqUrOySM3OZlphYcBeC0PBXgCvp72dCUlJtNbU0NPWxpmeHtpqamj0eFQxKDFDlYKi+GGP4i+66y4SXS4++uADOhoaOLhpE4vvu29Y3Dr+23AmZWRQvmEDTJjAhMREElJSNLisxJS4cR+JSJqI/EJEnhaR22ItjzI+sUfxp48dw5WTQ8qkSVS+9RaVO3Y4C9YNFVdODlluN/s3bODIiy/SXl+PJCSQV1TEld/9rsYTlJgyopaCiDwLfBqoNcZc4Fd+HfAEkABsMMZ8D7gReMEYs0VE/h3YOJKyKUoo/LfG7GptpaWigjM9PTSdPEnVjh3A0HZnszf22fdv/8ap3btJTEvDnDlD2rRpLLztNnUbKTFnpN1HzwHrgeftAhFJAH4MrAQqgF0i8jIwHSi3PtY7wnIpSkhcOTmct3q1k2U0ITGR9ldeAWM4tW8fH/7nf1K5YweXP/TQgBVDo8fDjnXr6GxqwlteTm9nJ2d6e0mdPJmsOXOYtXLlSNySogyIEXUfGWPeBIKnhBYBR4wxx4wxXcBm4DP4FMT0aMilKP3hyskhJTOTqh07aD5xggaPh4ZDh2itqaHmnXcGlYW0f8MGqnftounDD0nNyUESEjC9vZzp7mbm1Ver20iJC2LR+RYAJ/3eV1hlLwI3ichPgC3hThaRu0Vkt4jsrqurG1lJlXFNltvNlIsuInHiRM50dtL50UfIhAmkZGcPys0zee5cJiQm0lpXR1ttLcaaMW2MobWmRldDVeKCuBmRG2NajTFfNMZ8xRgTNp5gjPmZMWapMWbplClToimiMs5o9HhIzc5m0pw5IILp7aW3q4uEpCQaPZ4B1zfvxhs5p7CQ3rY2utvanHIRwRijq6EqcUEslEIlMMPv/XSrTFHiiiy3GxFh0qxZpGZnk5iaStq0aaRNm0ZnU9OAR/aunBw6T5+mu70dej8Om7lyc5lZUqKpqEpcEAulsAtwi8hsEUkGbgFejoEcitInjR4PxhjOWbyY9GnTSJw4kaYTJ2itraXh0KEBj+zbvV4SXC6f28gmIYHzv/AFzlu9WmMKSlwwokpBRH4NvA3MF5EKEflbY0wPcB/wGnAQ+A9jzHsjKYeiDIa84mLyiopIy8sj77LL6Gxq4kxnJ9VlZZz2eHDl5g6ovuqyMhoPHQoom37llVxyzz3DKbaiDIkRTUk1xtwapnwrsHUkr60oQ8U/PbXSmqMA0NvRQe3+/bz/29+SV1TUbz32LOkst5szfm6j1NxcVnzve2ohKHGFLnOhKP3gyskhyeUiITmZnu5uejo6aDp5EklIiOh8e5Y0QKLL5SsUIXPmTNrr60dKbEUZFHGTfaQo8cy8m24ibepUMIYznZ10f/QRR195hUaPp98ltfOKi0meNImdP/gBde/5PKUJqaks/NznNLisxB2qFBQlAtrr68lZtAgSPzauvfv3s+ORR/pdUtuVk8Px116jorQU09EB+JRCzvz56jpS4g5VCooSAXnFxSy87TYmzZoVUF63f3+/22Y2ejw+pWGMU5ael6dWghKXqFJQlAhw5eSw8JZbmFFSElDe1dLi7KIWinavlze+8Q26Tp92yiakpHDRnXeqlaDEJaoUFGUAFK9dC34B5qZjxzi+bVvYuEJ1WRm15eUBZbNXr+b8228fcVkVZTBo9pGiDIAstxtEAspq9+8nMTkZgPNWrz7r8y0VFQFldXv3qpWgxC1qKSjKAMlbtizg/V+efZbsBQtCxghOlJYGLGmR4HLxiXXrRlhCRRk8qhQUZYCs3rAh4H37qVN0NTeHHP3b8xNspl95JRfeccdIiqcoQ0KVgqIMkFAupEObN5/1uXavl1N79waU9XZ1jahsijJUVCkoyiDIX7484P3J118/K9D8l+efpy5IKcy9/voRl01RhoIqBUUZBKuCXEgAOx97LEAxeF566azPaNaREu+oUlCUQZDldpM2bVpA2eEXXgiY2fzR8eMBx5d885uadaTEPaoUFGWQXPx3fxfwvunYsYAMpNaTJwOOX/2DH0RFLkUZCqoUFGWQLP7KV8IeG8x2nYoSD6hSUJRB4srJYZLbHVD2/Cc+AcDLa9YElLv/5m+iJpeiDAVVCooyBG5+5ZWA980eD40eD3W7dweUf+rHP46mWIoyaFQpKMoQyAqyFAD2h8hM0gCzMlpQpaAoQyRt+vSA9yf++78D3i/6wheiKY6iDAlVCooyRG55/fWA96fefjvg/VU//GE0xVGUIaFKQVGGSCgXkj/qOlJGE3GjFETkOhE5LCJHROQfYy2PogyERV/6Usjy4n/+5yhLoihDIy6UgogkAD8GVgGLgFtFZFFspVKUyFn9zDMhy5c/8kiUJVGUoREXSgEoAo4YY44ZY7qAzcBnYiyToijKuCNedl4rAPzXBKgAQu5qLiJ3A3dbb1tE5PAQr50L1A+xjvGCtlUf5MDsVMhuBdKASthzf9AS20oA+jxFznC31bnhDsSLUogYY8zPgJ8NV30istsYs3S46hvLaFtFhojsbtR26hd9niInmm0VL+6jSmCG3/vpVpmiKIoSReJFKewC3CIyW0SSgVuAl2Msk6IoyrgjLtxHxpgeEbkPeA1IAJ41xrwXpcsPmytqHKBtFRnaTpGh7RQ5UWsrMcZE61qKoihKnBMv7iNFURQlDhjTSqG/WdIicq6I/JeI7BeRUhGZ7ndspoj8SUQOisgBEZkVVeGjyBDb6TERec9qpx+JjN0cTBF5VkRqReQvYY6L1QZHrLZa4nfsCyLisf7G9Ap5g20nEblERN62nqf9IjLmN6EYyjNlHc8UkQoRWT9sQhljxuQfvtjEUeA8IBn4M7Ao6DO/Ab5gvb4a+KXfsVJgpfU6HZgY63uKt3YClgFvWXUkAG8DJbG+pxFsqyuBJcBfwhxfDbwKCHAZUGaVZwPHrP9Z1uusWN9PHLbTPMBtvc4HqoHJsb6feGwrv+NPAJuA9cMl01i2FCKZJb0IsJe4fMM+bi2xkWiM2QZgjGkxxrRFR+yoM+h2AgyQik+ZpABJwKkRlzhGGGPeBBr6+MhngOeNj3eAySKSB1wLbDPGNBhjGoFtwHUjL3FsGGw7GWPeN8Z4rDqqgFpgyshLHDuG8EwhIoXAOcCfhlOmsawUQs2SLgj6zJ+BG63X/w+QISI5+EYsp0XkRRHZJyLft9ZnGosMup2MMW/jUxLV1t9rxpiDIyxvPBOuLSNp4/FEv+0hIkX4BhtHoyhXPBKyrURkAvBD4FvDfcGxrBQi4VvAChHZB6zAN2GuF1+q7nLr+KX4XCt3xEjGeCBkO4nIXGAhvsmGBcDVIrI8dmIqYwFrJPxL4IvGmDOxlidOuRfYaoypGO6K42KewgjR7yxpy0S9EUBE0oGbjDGnRaQCeNcYc8w69jt8/rzQS2GObobSTncB7xhjWqxjrwKfAAK3Hhs/hGvLSqAkqLw0alLFH2GfORHJBF4B/pflLhnvhGurTwDLReRefDHPZBFpMcYMeduBsWwp9DtLWkRyLTMM4AHgWb9zJ4uI7c+8GjgQBZljwVDa6QQ+CyJRRJLwWRHj2X30MnC7lTFyGfCRMaYa36TMT4lIlohkAZ+yysYrIdvJev5ewudDfyG2IsYNIdvKGHObMWamMWYWPkv++eFQCDCGLQUTZpa0iDwC7DbGvIxv9PZdETHAm8DfWef2isi3gP+yUiz3AE/H4j5GmqG0E/ACPoVZji/o/EdjzJZo30O0EJFf42uLXMuafAhfcB1jzE+BrfiyRY4AbcAXrWMNIvK/8SlggEeMMX0FF0c1g20n4K/xZePkiMgdVtkdxph3oyV7tBlCW42cTFZak6IoiqKMafeRoiiKMkBUKSiKoigOqhQURVEUB1UKiqIoioMqBUVRFMVBlYKiKIrioEpBURRFcVCloChhEJEvi0iNiPxZRI6KyO0DOPenInL5UOpQlFigk9cUJQzWxiV/Mcb81Fq1c6sxJjfCc98FCvGtdz+oOhQlFqiloCjhuQg4bL3+AOiK5CQRWQi8b4zpHWwdihIrVCkoSnguBA5b61/dB/yvCM9bBfxxsHVYi+YpSkxQpaAoIRCRGUAGvgXJaoErgOciPP1a4I9DqOPxAYqrKMOGKgVFCc2FwJvGmEvw7cS3APiEiEwTke0islZEfmEFkl8QkQsARGQivn2Fq8LVYX3uCyJypXX+D0RkpoisE5HrgAUicn/U71hRUKWgKOG4CNgHYO2rvAn4K+ASYKMx5jFgEr4l1X8DnGuddxW+LUr7qgOgEZ8VMQ9fnOFvgaeAeuBXxpjvj9ytKUp4VCkoSmguxOrQLbbgW9f+EuBNa1Mhr7Vd5AX49pSAs+MJoeoAn1K4Fd8uYxOBTGtDnovw7YmtKDFBlYKihMDa2epXfu/fNMYsBtzA+8D5fLzL3CxjzAnr9TLgrX7qAJ9SWGiMeR1YCmy0yuuBO60MJkWJOjpPQVEURXFQS0FRFEVxUKWgKIqiOKhSUBRFURxUKSiKoigOqhQURVEUB1UKiqIoioMqBUVRFMVBlYKiKIrioEpBURRFcfj/Af1CRtZnBOKJAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x216 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "def plot_volcano(guide, num_particles=100):\n",
    "    if smoke_test:\n",
    "        num_particles = 4\n",
    "    with torch.no_grad(), poutine.mask(mask=False):  # makes computations cheaper\n",
    "        with pyro.plate(\"particle\", num_particles, dim=-3):  # vectorizes\n",
    "            trace = poutine.trace(guide).get_trace(dataset)\n",
    "            trace = poutine.trace(poutine.replay(model, trace)).get_trace(dataset, -1)\n",
    "            coef = trace.nodes[\"coef\"][\"value\"].cpu()\n",
    "    coef = coef.squeeze() * 0.01  # Scale factor as in the model.\n",
    "    mean = coef.mean(0)\n",
    "    std = coef.std(0)\n",
    "    z_score = mean.abs() / std\n",
    "    effect_size = mean.exp().numpy()\n",
    "    plt.figure(figsize=(6, 3))\n",
    "    plt.scatter(effect_size, z_score.numpy(), lw=0, s=5, alpha=0.5, color=\"darkred\")\n",
    "    plt.yscale(\"symlog\")\n",
    "    plt.ylim(0, None)\n",
    "    plt.xlabel(\"$R_m/R_{wt}$\")\n",
    "    plt.ylabel(\"z-score\")\n",
    "    i = int((mean / std).max(0).indices)\n",
    "    plt.text(effect_size[i], z_score[i] * 1.1, dataset[\"mutations\"][i], ha=\"center\", fontsize=8)\n",
    "    plt.title(f\"Volcano plot of {len(mean)} mutations\")\n",
    "\n",
    "plot_volcano(guide)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "5MY99Q-zKM3x"
   },
   "source": [
    "## Create an initialization heuristic\n",
    "\n",
    "In high-dimensional models, convergence can be slow and NANs arise easily, even when sampling from [weakly informative priors](http://www.stat.columbia.edu/~gelman/presentations/weakpriorstalk.pdf). We recommend heuristically initializing a point estimate for each latent variable, aiming to initialize at something that is the right order of magnitude. Often you can initialize to a simple statistic of the data, e.g. a mean or standard deviation.\n",
    "\n",
    "Pyro's autoguides provide a number of [initialization strategies]() for initializing the location parameter of many variational families, specified as `init_loc_fn`. You can create a custom initializer by accepting a pyro sample site dict and generating a sample from `site[\"name\"]` and `site[\"fn\"]` using e.g. `site[\"fn\"].shape()`, `site[\"fn\"].support`, `site[\"fn\"].mean`, or sampling via `site[\"fn\"].sample()`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "id": "_PzZX6fKKM3x"
   },
   "outputs": [],
   "source": [
    "def init_loc_fn(site):\n",
    "    shape = site[\"fn\"].shape()\n",
    "    if site[\"name\"] == \"coef\":\n",
    "        return torch.randn(shape).sub_(0.5).mul(0.01)\n",
    "    if site[\"name\"] == \"init\":\n",
    "        # Heuristically initialize based on data.\n",
    "        return dataset[\"counts\"].mean(0).add(0.01).log()\n",
    "    return init_to_feasible(site)  # fallback"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "zwlg9pV6KM3y"
   },
   "source": [
    "As you evolve a model, you'll add and remove and rename latent variables. We find it useful to require inits for all latent variables, add a message to remind yourself to udpate the `init_loc_fn` whenever the model changes."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "id": "rCZI0TMGKM3y"
   },
   "outputs": [],
   "source": [
    "def init_loc_fn(site):\n",
    "    shape = site[\"fn\"].shape()\n",
    "    if site[\"name\"].endswith(\"_scale\"):\n",
    "        return torch.ones(shape)\n",
    "    if site[\"name\"] == \"coef\":\n",
    "        return torch.randn(shape).sub_(0.5).mul(0.01)\n",
    "    if site[\"name\"] == \"rate\":\n",
    "        return torch.zeros(shape)\n",
    "    if site[\"name\"] == \"init\":\n",
    "        return dataset[\"counts\"].mean(0).add(0.01).log()\n",
    "    raise NotImplementedError(f\"TODO initialize latent variable {site['name']}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "id": "gxbVyvhnKM3y"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Found 538452 latent variables and 1068600 learnable parameters\n",
      "step    0 loss = 127.475\n",
      "step  100 loss = 44.9544\n",
      "step  200 loss = 31.4236\n",
      "step  300 loss = 24.4205\n",
      "step  400 loss = 20.6802\n",
      "step  500 loss = 18.6063\n",
      "step  600 loss = 17.2365\n",
      "step  700 loss = 16.5067\n",
      "step  800 loss = 16.001\n",
      "step  900 loss = 15.5123\n",
      "step 1000 loss = 18.8275\n",
      "{'MAE (USA / Massachusetts)': 0.29367634654045105,\n",
      " 'MAE (global)': 0.2283070981502533}\n",
      "CPU times: user 3min 17s, sys: 2min 51s, total: 6min 9s\n",
      "Wall time: 1min 58s\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x216 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "%%time\n",
    "guide = AutoNormal(model, init_loc_fn=init_loc_fn, init_scale=0.01)\n",
    "fit_svi(model, guide, lr=0.02)\n",
    "pprint(evaluate(model, guide))\n",
    "plot_volcano(guide)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "pxeYvAlqKM3y"
   },
   "source": [
    "## Reparametrize the model\n",
    "\n",
    "Reparametrizing a model preserves its distribution while changing its geometry. Reparametrizing is simply a change of coordinates. When reparametrizing we aim to warp a model's geometry to remove correlations and to lift inconvenient topological manifolds into simpler higher dimensional flat Euclidean space.\n",
    "\n",
    "Whereas many probabilistic programming languages require users to rewrite models to change coordinates, Pyro implements a library of about 15 different reparametrization effects including decentering (Gorinova et al. 2020), Haar wavelet transforms, and neural transport (Hoffman et al. 2019), as well as strategies to automatically apply effects and machinery to create custom reparametrization effects. Using these reparametrizers you can separate modeling from inference: first specify a model in a form that is natural to domain experts, then in inference code, reparametrize the model to have geometry that is more amenable to variational inference."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "9Xuae9EEKM3y"
   },
   "source": [
    "In our SARS-CoV-2 model, the geometry might improve if we change\n",
    "```diff\n",
    "- rate = pyro.sample(\"rate\", dist.Normal(rate_loc, rate_scale))\n",
    "+ rate = pyro.sample(\"rate\", dist.Normal(0, 1)) * rate_scale + rate_loc\n",
    "```\n",
    "but that would make the model less interpretable. Instead we can reparametrize the model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "id": "nct66uSCKM3y"
   },
   "outputs": [],
   "source": [
    "reparam_model = poutine.reparam(model, config={\"rate\": LocScaleReparam()})"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "Kx8Snxk2KM3y"
   },
   "source": [
    "or even automatically apply a set of recommended reparameterizers"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "id": "DEaRa83fKM3z"
   },
   "outputs": [],
   "source": [
    "reparam_model = AutoReparam()(model)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "4M-04R17KM3z"
   },
   "source": [
    "Let's try reparametrizing both sites \"rate\" and \"init\". Note we'll create a fresh `reparam_model` each time we train a guide, since the parameters are stored in that `reparam_model` instance. Take care to use the `reparam_model` in downstream prediction tasks like running `evaluate(reparam_model, guide)`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "id": "6s7Rfq6pKM3z"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Found 538452 latent variables and 1068602 learnable parameters\n",
      "step    0 loss = 127.368\n",
      "step  100 loss = 20.2831\n",
      "step  200 loss = 11.0703\n",
      "step  300 loss = 9.64594\n",
      "step  400 loss = 9.52988\n",
      "step  500 loss = 9.09012\n",
      "step  600 loss = 9.25454\n",
      "step  700 loss = 8.60661\n",
      "step  800 loss = 8.9332\n",
      "step  900 loss = 8.64206\n",
      "step 1000 loss = 8.56663\n",
      "{'MAE (USA / Massachusetts)': 0.1336274892091751,\n",
      " 'MAE (global)': 0.1719919890165329}\n",
      "CPU times: user 4min 21s, sys: 3min 9s, total: 7min 31s\n",
      "Wall time: 2min 17s\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x216 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "%%time\n",
    "reparam_model = poutine.reparam(\n",
    "    model, {\"rate\": LocScaleReparam(), \"init\": LocScaleReparam()}\n",
    ")\n",
    "guide = AutoNormal(reparam_model, init_loc_fn=init_loc_fn, init_scale=0.01)\n",
    "fit_svi(reparam_model, guide, lr=0.05)\n",
    "pprint(evaluate(reparam_model, guide))\n",
    "plot_volcano(guide)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "blr6l-GLKM3z"
   },
   "source": [
    "## Customize the variational family\n",
    "\n",
    "When creating a new model, we recommend starting with mean field variational inference using an [AutoNormal]() guide. This mean field guide is good at finding the neighborhood of your model's mode, but naively it ignores correlations between latent variables. A first step in capturing correlations is to reparametrize the model as above: using a `LocScaleReparam` or `HaarReparam` (where appropriate) already allows the guide to capture some correlations among latent variables.\n",
    "\n",
    "The next step towards modeling uncertainty is to customize the variational family by trying other autoguides, building on [EasyGuide](), or creating a custom guide using Pyro primitives. We recommend increasing guide complexity gradually via these steps:\n",
    "1. Start with an [AutoNormal]() guide.\n",
    "2. Try [AutoLowRankMultivariateNormal](), which can model the principle components of correlated uncertainty. (For models with only ~100 latent variables you might also try [AutoMultivariateNormal]() or [AutoGaussian]()).\n",
    "3. Try combining multiple guides using [AutoGuideList](). For example if [AutoLowRankMultivariateNormal]() is too expensive for all the latent variables, you can use [AutoGuideList]() to combine an [AutoLowRankMultivariateNormal]() guide over a few top-level global latent variables, together with a cheaper [AutoNormal]() guide over more numerous local latent variables.\n",
    "4. Try using [AutoGuideList]() to combine a autoguide together with a custom guide function built using `pyro.sample`, `pyro.param`, and `pyro.plate`. Given a `partial_guide()` function that covers just a few latent variables, you can `AutoGuideList.append(partial_guide)` just as you append autoguides.\n",
    "5. Consider customizing one of Pyro's autoguides that leverage model structure, e.g. [AutoStructured](https://docs.pyro.ai/en/latest/infer.autoguide.html#autostructured), [AutoNormalMessenger](https://docs.pyro.ai/en/latest/infer.autoguide.html#autonormalmessenger), [AutoHierarchicalNormalMessenger](https://docs.pyro.ai/en/latest/infer.autoguide.html#autohierarchicalnormalmessenger) [AutoRegressiveMessenger](https://docs.pyro.ai/en/latest/infer.autoguide.html#autoregressivemessenger).\n",
    "6. For models with local correlations, consider building on [EasyGuide](https://docs.pyro.ai/en/latest/contrib.easyguide.html), a framework for building guides over groups of variables.\n",
    "\n",
    "While a fully-custom guides built from `pyro.sample` primitives offer the most flexible variational family, they are also the most brittle guides because each code change to the model or reparametrizer requires changes in the guide. The author recommends avoiding completely low-level guides and instead using `AutoGuide` or `EasyGuide` for at least some parts of the model, thereby speeding up model iteration."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "zgMSoFIVKM3z"
   },
   "source": [
    "Let's first try a simple `AutoLowRankMultivariateNormal` guide."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "id": "btrEBvoCKM3z"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Found 538452 latent variables and 54498602 learnable parameters\n",
      "step    0 loss = 128.329\n",
      "step    1 loss = 126.172\n",
      "step    2 loss = 124.691\n",
      "step    3 loss = 123.609\n",
      "step    4 loss = 123.317\n",
      "step    5 loss = 121.567\n",
      "step    6 loss = 120.513\n",
      "step    7 loss = 121.759\n",
      "step    8 loss = 120.844\n",
      "step    9 loss = 121.641\n",
      "CPU times: user 45.9 s, sys: 38.2 s, total: 1min 24s\n",
      "Wall time: 29 s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "reparam_model = poutine.reparam(\n",
    "    model, {\"rate\": LocScaleReparam(), \"init\": LocScaleReparam()}\n",
    ")\n",
    "guide = AutoLowRankMultivariateNormal(\n",
    "    reparam_model, init_loc_fn=init_loc_fn, init_scale=0.01, rank=100\n",
    ")\n",
    "fit_svi(reparam_model, guide, num_steps=10, log_every=1, plot=False)\n",
    "# don't even bother to evaluate, since this is too slow."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "BK3kgjhMT6ce"
   },
   "source": [
    "Yikes! This is quite slow and sometimes runs out of memory on GPU.\n",
    "\n",
    "Let's make this cheaper by using `AutoGuideList` to combine an `AutoLowRankMultivariateNormal` guide over the most important variables `rate_scale`, `init_scale`, and `coef`, together with a simple cheap `AutoNormal` guide on the rest of the model (the expensive `rate` and `init` variables). The typical pattern is to create two views of the model with [poutine.block](https://docs.pyro.ai/en/stable/poutine.html#pyro.poutine.handlers.block), one exposing the target variables and the other hiding them."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "id": "_jjmgrMqTu0w"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Found 538452 latent variables and 1202987 learnable parameters\n",
      "step    0 loss = 832.956\n",
      "step  100 loss = 11.9687\n",
      "step  200 loss = 11.1152\n",
      "step  300 loss = 9.60629\n",
      "step  400 loss = 10.1724\n",
      "step  500 loss = 9.18063\n",
      "step  600 loss = 9.1669\n",
      "step  700 loss = 9.06247\n",
      "step  800 loss = 9.38853\n",
      "step  900 loss = 9.12489\n",
      "step 1000 loss = 8.93582\n",
      "{'MAE (USA / Massachusetts)': 0.09685955196619034,\n",
      " 'MAE (global)': 0.16698431968688965}\n",
      "CPU times: user 4min 22s, sys: 3min 5s, total: 7min 28s\n",
      "Wall time: 2min 15s\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x216 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "%%time\n",
    "reparam_model = poutine.reparam(\n",
    "    model, {\"rate\": LocScaleReparam(), \"init\": LocScaleReparam()}\n",
    ")\n",
    "guide = AutoGuideList(reparam_model)\n",
    "mvn_vars = [\"coef\", \"rate_scale\", \"coef_scale\"]\n",
    "guide.add(\n",
    "    AutoLowRankMultivariateNormal(\n",
    "        poutine.block(reparam_model, expose=mvn_vars),\n",
    "        init_loc_fn=init_loc_fn,\n",
    "        init_scale=0.01,\n",
    "    )\n",
    ")\n",
    "guide.add(\n",
    "    AutoNormal(\n",
    "        poutine.block(reparam_model, hide=mvn_vars),\n",
    "        init_loc_fn=init_loc_fn,\n",
    "        init_scale=0.01,\n",
    "    )\n",
    ")\n",
    "fit_svi(reparam_model, guide, lr=0.1)\n",
    "pprint(evaluate(reparam_model, guide))\n",
    "plot_volcano(guide)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "o4TcrOWvgX_7"
   },
   "source": [
    "Next let's create a custom guide for part of the model, just the `rate` and `init` parts. Since we'll want to use this with reparametrizers, we'll make the guide use the auxiliary latent variables created by `poutine.reparam`, rather than the original `rate` and `init` variables. Let's see what these variables are named:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "id": "ole0UzqnWY37"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "rate_scale\n",
      "init_scale\n",
      "mutation\n",
      "coef\n",
      "strain\n",
      "place\n",
      "rate_decentered\n",
      "init_decentered\n"
     ]
    }
   ],
   "source": [
    "for name, site in poutine.trace(reparam_model).get_trace(\n",
    "    dataset\n",
    ").iter_stochastic_nodes():\n",
    "    print(name)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "7lkacduNmnmu"
   },
   "source": [
    "It looks like these new auxiliary variables are called `rate_decentered` and `init_decentered`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "id": "r5b8-WbUibg2"
   },
   "outputs": [],
   "source": [
    "def local_guide(dataset):\n",
    "    # Create learnable parameters.\n",
    "    T, P, S = dataset[\"counts\"].shape\n",
    "    r_loc = pyro.param(\"rate_decentered_loc\", lambda: torch.zeros(P, S))\n",
    "    i_loc = pyro.param(\"init_decentered_loc\", lambda: torch.zeros(P, S))\n",
    "    skew = pyro.param(\"skew\", lambda: torch.zeros(P, S))  # allows correlation\n",
    "    r_scale = pyro.param(\"rate_decentered_scale\", lambda: torch.ones(P, S),\n",
    "                          constraint=constraints.softplus_positive)\n",
    "    i_scale = pyro.param(\"init_decentered_scale\", lambda: torch.ones(P, S),\n",
    "                          constraint=constraints.softplus_positive)\n",
    "\n",
    "    # Sample local variables inside plates.\n",
    "    # Note plates are already created by the main guide, so we'll\n",
    "    # use the existing plates rather than calling pyro.plate(...).\n",
    "    with guide.plates[\"place\"], guide.plates[\"strain\"]:\n",
    "        samples = {}\n",
    "        samples[\"rate_decentered\"] = pyro.sample(\n",
    "            \"rate_decentered\", dist.Normal(r_loc, r_scale)\n",
    "        )\n",
    "        i_loc = i_loc + skew * samples[\"rate_decentered\"]\n",
    "        samples[\"init_decentered\"] = pyro.sample(\n",
    "            \"init_decentered\", dist.Normal(i_loc, i_scale)\n",
    "        )\n",
    "    return samples"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "id": "Muz3PsZ0k9az"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Found 538452 latent variables and 1468870 learnable parameters\n",
      "step    0 loss = 4804.42\n",
      "step  100 loss = 31.7409\n",
      "step  200 loss = 19.8206\n",
      "step  300 loss = 15.2961\n",
      "step  400 loss = 13.2222\n",
      "step  500 loss = 12.1435\n",
      "step  600 loss = 11.4291\n",
      "step  700 loss = 10.9722\n",
      "step  800 loss = 10.6209\n",
      "step  900 loss = 10.3649\n",
      "step 1000 loss = 10.1804\n",
      "{'MAE (USA / Massachusetts)': 0.1159871369600296,\n",
      " 'MAE (global)': 0.1876191794872284}\n",
      "CPU times: user 4min 26s, sys: 3min 7s, total: 7min 33s\n",
      "Wall time: 2min 18s\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x216 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "%%time\n",
    "reparam_model = poutine.reparam(\n",
    "    model, {\"rate\": LocScaleReparam(), \"init\": LocScaleReparam()}\n",
    ")\n",
    "guide = AutoGuideList(reparam_model)\n",
    "local_vars = [\"rate_decentered\", \"init_decentered\"]\n",
    "guide.add(\n",
    "    AutoLowRankMultivariateNormal(\n",
    "        poutine.block(reparam_model, hide=local_vars),\n",
    "        init_loc_fn=init_loc_fn,\n",
    "        init_scale=0.01,\n",
    "    )\n",
    ")\n",
    "guide.add(local_guide)\n",
    "fit_svi(reparam_model, guide, lr=0.1)\n",
    "pprint(evaluate(reparam_model, guide))\n",
    "plot_volcano(guide)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "eeVU75KDlICi"
   },
   "source": [
    "## Conclusion\n",
    "\n",
    "We've seen how to use initialization, reparameterization, autoguides, and custom guides in a Bayesian workflow. For more examples of these pieces of machinery, we recommend exploring the Pyro codebase, e.g. [search for \"poutine.reparam\"](https://github.com/pyro-ppl/pyro/search?q=poutine.reparam&type=code) or [\"init_loc_fn\"](https://github.com/pyro-ppl/pyro/search?q=init_loc_fn&type=code) in the Pyro codebase."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "accelerator": "GPU",
  "colab": {
   "name": "workflow.ipynb",
   "provenance": []
  },
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.11"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}
